Sharpness Improvement for Medical Images Using a New Nimble Filter
Author:
Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering,Software
Link
http://link.springer.com/article/10.1007/s13319-018-0164-0/fulltext.html
Reference30 articles.
1. Fu, S., Ruan, Q., Wang, W., Gao, F., & Cheng, H. D. (2007). A feature-dependent fuzzy bidirectional flow for adaptive image sharpening. Neurocomputing, 70(4), 883–895. https://doi.org/10.1016/j.neucom.2006.10.035 .
2. Cao, G., Zhao, Y., Ni, R., & Kot, A. C. (2011). Unsharp masking sharpening detection via overshoot artifacts analysis. IEEE Signal Processing Letters, 18(10), 603–606. https://doi.org/10.1109/LSP.2011.2164791 .
3. Haq, N., Hayat, K., Noreen, N., & Puech, W. (2011) Image sharpening by DWT-based hysteresis. In International conference on advanced concepts for intelligent vision systems (pp. 429–436). https://doi.org/10.1007/978-3-642-23687-7_39 .
4. Trifas, M. A., Tyler, J. M., & Pianykh, O. S. (2006) Applying multiresolution methods to medical image enhancement. In Proceedings of the 44th annual southeast regional conference (pp. 254–259). https://doi.org/10.1145/1185448.1185506 .
5. Singh, N. K., & Sunaniya, A. K. (2017). An adaptive image sharpening scheme based on local intensity variations. Signal, Image and Video Processing, 11(5), 777–784. https://doi.org/10.1007/s11760-016-1022-2 .
Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Unsharp Mask Sharpening Detection via Global Analysis;2024 35th Irish Signals and Systems Conference (ISSC);2024-06-13
2. BrainCDNet: a concatenated deep neural network for the detection of brain tumors from MRI images;Frontiers in Human Neuroscience;2024-06-11
3. A New Adaptive Image Sharpening Scheme;2023 13th International Conference on Information Technology in Medicine and Education (ITME);2023-11-24
4. A Noise-robust and Overshoot-free Alternative to Unsharp Masking for Enhancing the Acuity of MR Images;Journal of Digital Imaging;2022-03-16
5. Towards Sustainable Management of Mussel Farming through High-Resolution Images and Open Source Software—The Taranto Case Study;Remote Sensing;2021-07-29
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3